Time is confusing. Sometimes, it's so confusing that our thinking about it changes... over time. Which makes
it triply confusing, or something. In this post, I want to talk about two aspects of temporal data, both
common, useful and often misunderstood:

Homogeneous vs Inhomogeneous

Temporal vs Bitemporal

Homogeneous Temporal Data

The first thing to stress is that we're talking about
homogeneous data, because "homogenous" means something completely different.

In a homogeneous, temporal data set, one column will contain a known sequence of
discrete time values, and the other
columns will contain whatever information is associated with those times.